STI Publications - View Publication Form #16598
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Publication Information
| Title | Performance Advances in Computing Disconnected Diagrams with Deflation | ||||
| Abstract | In this work, we propose two approaches to improve the performance scalability of deflation for variance reduction in stochastic trace estimation of large matrix inverses. These inverses stem from computing the disconnected contributions of correlation functions in lattice QCD. We reduce the cost of computing and applying deflation by using a multigrid prolongator as the deflation basis. We also improve the scalability of the multigrid solver by taking advantage of the simultaneous resolution of several linear systems. | ||||
| Author(s) | Eloy Romero Alcalde, Andreas Stathopoulos, Konstantinos Orginos | ||||
| Publication Date | May 2021 | ||||
| Document Type | Meeting | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | Comp Sci&Tech (CST) Div / Scientific Computing / Scientific Computing | ||||
| Funding Source | Nuclear Physics (NP), Exascale Computing Project 17-SC-20-SC | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Meeting / Conference
| Meeting Name | ECPAM 2021 |
| Meeting Date | 4/12/2021 |
| Document Subtype | Poster |
Attachments/Datasets/DOI Link
| Document(s) |
poster2.pdf
(STI Document)
|
| Dataset(s) | (none) |
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